{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '..\\\\..\\\\..\\\\..\\\\..\\\\datasets\\\\cifar-10-batches-py\\\\data_batch_1'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-930d9c221bb2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     10\u001b[0m    \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     11\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 12\u001b[1;33m \u001b[0mX_train\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mX_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mload_CIFAR10\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcifar10_dir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     13\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     14\u001b[0m \u001b[1;31m# As a sanity check, we print out the size of the training and test data.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Users\\VonBrank\\Documents\\GitHub\\code-learning\\algorithm\\deep-learning\\computer-visualization\\cs231n\\assignments\\assignment1\\cs231n\\data_utils.py\u001b[0m in \u001b[0;36mload_CIFAR10\u001b[1;34m(ROOT)\u001b[0m\n\u001b[0;32m     33\u001b[0m \u001b[1;31m#         f = os.path.join(ROOT + '\\\\data_batch_%d' % b)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     34\u001b[0m         \u001b[0mf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mROOT\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'data_batch_%d'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 35\u001b[1;33m         \u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mY\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mload_CIFAR_batch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     36\u001b[0m         \u001b[0mxs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m         \u001b[0mys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mY\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Users\\VonBrank\\Documents\\GitHub\\code-learning\\algorithm\\deep-learning\\computer-visualization\\cs231n\\assignments\\assignment1\\cs231n\\data_utils.py\u001b[0m in \u001b[0;36mload_CIFAR_batch\u001b[1;34m(filename)\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mload_CIFAR_batch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     19\u001b[0m     \u001b[1;34m\"\"\" load single batch of cifar \"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 20\u001b[1;33m     \u001b[1;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     21\u001b[0m         \u001b[0mdatadict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mload_pickle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     22\u001b[0m         \u001b[0mX\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatadict\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '..\\\\..\\\\..\\\\..\\\\..\\\\datasets\\\\cifar-10-batches-py\\\\data_batch_1'"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = r'D:\\Users\\VonBrank\\Documents\\GitHub\\code-learning\\algorithm\\deep-learning\\computer-visualization\\cs231n\\datasets\\cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "no_loop",
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 24.983689 seconds\n",
      "One loop version took 38.931001 seconds\n",
      "No loop version took 0.206878 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "X_train_folds = np.split(X_train, num_folds)\n",
    "y_train_folds = np.split(y_train, num_folds)\n",
    "# print(X_train_folds[1].shape)\n",
    "# print(y_train_folds[1].shape)\n",
    "pass\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "for k in k_choices:\n",
    "    k_to_accuracies[k] = np.zeros(num_folds)\n",
    "    acc = []\n",
    "    for i in range(0, num_folds):\n",
    "        X_tr = X_train_folds[: i] + X_train_folds[i+1 :]\n",
    "        y_tr = y_train_folds[: i] + y_train_folds[i+1 :]\n",
    "        X_tr = np.concatenate(X_tr, axis=0)\n",
    "        y_tr = np.concatenate(y_tr, axis=0)\n",
    "        classifier = KNearestNeighbor()\n",
    "        classifier.train(X_tr, y_tr)\n",
    "        X_cv = X_train_folds[i]\n",
    "        y_cv = y_train_folds[i]\n",
    "        y_cv_pred = classifier.predict(X_cv, k=k, num_loops=0)\n",
    "        num_correst = np.mean(y_cv_pred == y_cv)\n",
    "        acc.append(num_correst)\n",
    "    k_to_accuracies[k] = acc\n",
    "# pass\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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S1lkRuQQ4AYgXcX7Zqeq9YaxXn1WxeDElP70LLbgWAG9xMSU/dbYdz5szh2EfONNVv/7taQAkDU2n8sD+dvdJGpre6rh6fSnli7agTc4geVN5PeWLtgAE3RDJt4Lb6x3r1NFdwQ3YILcxJiShLMr7I3Al8ANAcNZdjA5zvfqs0gceROvqWpVpXR2lDzwY8Pzp864hOrb1eEZ0bBzT513Tquzw0h1oY+vZVNrYzOGlO4LWyVZwR0ZvWsVvzLEKpWVxpqrmi8gGVb1HRH4DLAp3xfoqb0ngfZY7KvfNenr+JWc2VFJ6RsDZUE3lgWdTdVTekq3gNsYcq1CChe/P5BoRyQEOAmPCV6W+LTo7G29x+/2Xo7M73n/5+Okzyf7U+Qv0+m9/K+A5npS4gIHBkxJ4llVLycnJAQODreA2xoQqlNlQi0UkBVgArAN2AE+Gs1J9WeZNNyLx8a3KJD6ezJtuPKb7Dpmdi8S0/rokJoohs3ODXmsruI0xx6rTloW76dEyVS0HnheRV4B4VbX+iw4kz5kDgLy2B21oIDonh8ybbvSXHy3fILY89wHa1IwnJY4hs3ODDm7DkUHsJc8W4vV6bT8LY0yXddqyUNVm4Dctjuu7EihE5EIRKRSRrSJye4DnbxaRT0Vkg4gsE5HRLZ67X0Q+EZGNIvI78U3DirD73r2PNfvWsGbfGk5+7GTue/e+duckz5lDwsknM+i005jwr2X+QNFRIkFnBXchRRs/ZuH3ru1wQd7gyZnEjkoibkwy2bdPDSlQ+OTn5zNixAhyc3O56aabLFAYY7oklG6o10XkS139ZS0iHuD3wEU4azSuEpFJbU5bDxSoaj7wHHC/e+2ZwFlAPnAicBowoyuvHw73vXsfTxc+7T9u1maeLnw6YMBoy5dIsMHbTK0oh8vqWP7EJv71txdtBbcxptcLJVjcjJM4sF5EDotIpYgcDuG6qcBWVd3u5pZ6Cpjb8gRVXe6mOgd4FxjhewqIB2KBOJx9NPaF8Jph9ezmwPkTOypvyZdIsDxKOeBR/m9IPe9IPe//8wVbwW2M6fWCzoZS1aPdPnU4sLvFcRFweifnXwe85r7mKhFZDpTgrO14ONDe3yJyPXA9wKhRo46ymqFr1uYulbdUVVZPpSg1AvHNkNwsrEjw8k7OZRxfuQmveIjWJv/5gVZwH4tXXnmFnTurUFXuued1pkyZwuc///lufQ1jTP8VNFiIyDmBylX1rWCXBrqsg9e4GijA7WoSkfHA8RxpabwhIue0fU1VXQgsBCgoKAh47+4UJVEBA0OUBG+gJabF8XZNFQCpzcK8qjj2eZp5X7by8ZATaCaKhKZaf9CIT0zstnq/8sorrFmzBtWJAKgqa9asAbCAYYwJSSjdULe2+PkpsBiYH8J1RcDIFscjgHYLEETkfOBO4FJV9fXHfAF4V1WrVLUKp8VxRgivGVaX513epfKWpnx+DB/GeYlXiHbj6HBPNBcffoev736cRG8VtdGDWJs8GQDtxtC3du1aABo1igb1UK+eVuXGGBNMKN1QreZ8ishI3IHoIFYDE0RkDLAHmAd8pc29JgOPABf6tmt17QK+JSK/wGmhzAAC58voQT854ycA/HWncxwlUVyed7m/vDMbY5uoERgmUdDstDSmzR3H4gdqSFQl2XuYJvGwJuVUJlZtIaU6lGGh0KgqG72ZlDEYEJ6sP5VBNJASVUvUK5+SNyyRCcOSmJCZSFJ8TND7GWMGnpASCbZRhDNDqVOq6hWR7wNLAQ/wF1X9RETuBdao6ss4C/0SgWfdyVa7VPVSnJlR5wEf4XRd/UNVFx9FXYN6cf0eFiwtpLi8lpyUBG6dPZHLJg/v8PyfnPETPvrQWW399DU/COk1VJW/vbODvGGJpCTEICIBEwkmN1ZQFpXGm+nTudr7Xrv7+LLOalMzJb98P6R1Fs3NyhrvSD72ZhFHIwk0Mi76IOXNCZRrAk+8t5O6FjmnhqckMGFYInnDktyfRMZnJjIo9mj+qQxcJXtf4vDhYpqb6/n3v3/E2HG3kJ01N/iFxvRSoYxZ/A9HxhqigFOAD0O5uaouAZa0KburxePzO7iuiR7YM+PF9Xu4Y9FH1DY6A8t7ymu5Y9FHAJ0GjK5aveMQnxQf5r+/cBIvfbCn1XPT513D6wsfBsBDM9PK3mNF+jk0nzKu1XlHk3W23tvELc9u4GNvFsd59lHWlIAInBTtrO8oKCjgoosvpOhQDZv3VbF5X6X7U8U7Ww/S4L6WCIxMHeRvgUwclsSEYYmMy0gkPsbTbZ9Tf1Gy9yU2bbqT5uZvAlBXX8ymTXcCWMAwfVYofy6uafHYCzypqv8OU3161IKlhf5A4VPb2MSCpYXdGiz+9s5nJCfE8IXJw9sFi7aJBKfFlVKSHMWftwpfqW0kOcHpFuos62ygYFFR28j1j63hvc/KuP2i4xh+WPn5Kmc2lIi0mg01euhgRg8dzOcmDfNf721qZmdZDVv2VVK4t4rNpZVs2VfJm4X78TY7fztECeQOHdymJZLEmPTBxEaHMhzWP23f9muam2tblTU317J9268tWJg+K5Rg8RxQ5/61j4h4RGRQi/URfVZxeW2Xyo/GnvJaln6yj29OH0NCbOC/wlsmEvzPb3+Ls/dUcOnDb7Ng6Sbuu+wkoGtZZ/eU13LtX9/nswPVPDTvFOaeMhwYx+PFzmvcHcIe3NGeKMZlOK2HC1t0OjZ4m9lxsNrfAtm8t5LNpZW88ek+3BhCdJSQmz7Y3wLxBZHcoYOI9vT/IFJXHzjDcEflxvQFoQSLZcD5QJV7nAC8DpwZrkr1lJyUBPYECAw5KQnd9hr/b5UzGn7NtNyQrzlxeDJfPzOXv72zgy+dOoLJo1JDzjr7afFhrv3b+9TUN/Hof0zlzHHp7a45FrHRUf5f/i3VNTaxfX81W0qdrqzCvVV8XFzBko9L/DO7Yj1RjM0Y7B8LmeDeZ1TaIDxRvSKbS7eIj8umrr595uH4uI4zDxvT24USLOLd6asAqGqViAwKY516zK2zJ7YaswBIiPFw6+yJ3XL/pmblyfd3MfuEYQzvYgC6+XN5LPmohDtf+JiXv38WQ2bnOmMULfYwapt19u0tB/jPx9eSFB/Ns9+ZxnFZQ7rlfYQiPsbDpJwhTMpp/Zq1DU1sLXXHQ0or2by3krU7D/Hyh0d+mcZFRzE+s/Wget6wJIanJBDVB4PI2HG3+McofKKiEhg77pYI1ciYYxdKsKgWkVNVdR2AiEwBuq+fJoJ84xJdmQ3VFQer6qmobeQbZ3Z9+4+k+BjmzzmB7zyxjkdX7eS6s517dJR1dtG6In703AbGZyby12tPIzu5+1pHxyIh1sNJI5I5aUTrvTOq6r1OENnrDqqXVrFq20FeWH9kTGdQrIcJma0H1fOGJZGdHE8vySsZkG9cImq1MxsqPi7HZkOZPi+UYHEjztRW35+C2TjbrPYLl00e3q2D2T6qyt7D9ZyQM4TTclOBI1lnm7zKoz/+N9PmjiPv9KwO73HhiVnMnJjBb18v5OKTssienEns+073T/a3p/pf53/f3MaCpYWcOW4of/zaFIb0gbUSiXHRnDIyhVNGprQqr6htZGupO6i+r5Itpc6g+nNri/znJMVFtxtUzxuWSEZSXK8JItlZcxkyxBkjOuusY9vLxJjeIJRFeatF5DhgIs4CuU2q2hjksgHvcJ2X2sYmvnFmLiLizzrbFOt04FeV1bP8iU0AHQYMEeHeuSdy/m9XcM/Ln/LHr01p9by3qZm7Xv6Ev7+3i8tOyeH+L5/c52chJSfEMGV0GlNGp7UqP1Td0Gpq7+Z9lSz9ZC9Prd7d6tq2g+p5wxIZmhh8N0FjTOdCWWfxPeAJVf3YPU4VkatU9X/DXrs+6lB1AzsP1hAdJcw5OQc4knWW2CPneRuaWfXStk5bFyPTBvHDWRNYsLSQZRuPJN6tafDyg7+vZ9mmUr577jhunT2x1/xVHQ6pg2M5fexQTh871F+mqhyoamCLG0QK91WxZV8liz8s5nCd13/e0MGxrQbVJ2YlkZeZRPKg3t8CM6a3CKUb6luq+nvfgaoeEpFvARYsAqioaeTqP79HnbeJicOS/IvWqsoCT33tqLylb00fy4vr93DXS5+QnRxPsypXLXyXj/ZU8LPLTuRrZ4wOeo/+SETISIojIymOM8cfmfWlquw7XN+iJeK0Rp5bW0R1w5HJDJlJcUzMSmJCZsvZWZbyxJhAQgkWUSIiqs4ESHdTo9gg1wxIlXWNXPPX99myr4q8zET/gjpwckEFCgyJacG7SGKjo7jvshO5cuG71HubqKzzIgKPfK2g1UI64xARspLjyUqO55y8DH+5qrKnvJYtbjdW4b5Ktuyr4u/vt055kpMc72+BTHBnaU0YZilPzMAWyr/+pcAzIvJHnLQf/wn8I6y16oOq671c+9fVfLKngj9cPYU/rdze6vlpc8f5xyh8omOjmDa3dVqPjpw+diiXTxnBs2uLiI4Snv3PaUweldpt9R8IRIQRqYMYkTqImccdWfXe3KzsbpHyZIvbpbVq+0EavEeCyMi0BPIyk8jLclsimUmMz7SUJ2ZgCCVY3IaTp+k7OAPcrwN/Cmel+prahiaue3Q163eX8z9XTeZzk4a1Cxa+cYknX/iAJq/6s852Nl7R1o0jM3hzXTHpzZD19y1Uh5BI0AQXFSUdpjzZVVbTalB9875KVmxunfJk9NDBTMhMdFoiblfW2PTu24/EmN4glNlQzcAf3B/TRl1jE9f/PycH04NXnsLFJ3W8Sjfv9CyGfeCsN/BlnQ1V9fpSePUzhqsziB1KIkFzbKI9UYzNSGRsm5QnjU3N7DhQTaEbRLa4XVrLNpXS5AYRT5QQ64kiKT6aZRv3MW3cUOvGMn1aKLOhJgC/ACbh7IsNgKqODWO9+oQGbzPffWIdK7cc4P4v57s5mMKjq4kETfjEeKKc/T/apDyp9zopT3wtkCfe3cWBqnque3QNsZ4oThuTyrl5mcyYmMGEzMR+PXvN9D+h/KnzV+Bu4AFgJnAtgbdMHVCaVfnBk+v416ZSfv6FE7miYGTwi45BVxIJduTpLrZmTNfERXs4PnsIx2c7KU/W7DhEsyo3np/His37WVG4n58v2cjPl2wkJzmeGRMzmJGXwZnj0/vEQkozsIUSLBJUdZk7I2onMF9EVuIEkAFJVdm+v5rVOw5x95xJfPX01lNXS+65h5rdzuDzxt99i5QrLif77mP7uEJNJGh6lygRzhqfzlnj0/nxxcdTXF7LW5v3s2Lzfl75sIQn39+NJ0qYMirVHzwmZQ/pkzmxTP8WSrCoE5EoYIu7890eYED3e+wqq+FgdQN3XHQc157VOu9TyT33UP7kU3D2d5yCpibnGI4pYISSSND0fjkpCcybOop5U0fR2NTM+l3lrNhcyorN+1mwtJAFSwtJT4xjRl4GMyZmMH18OqmDbaa6ibxQc0MNAn4I/AynK+rr4axUb3eoppGUQTF8e0b7aa/lzzwb8JryZ549pmDhG5foKJGg6XtiPFFMHZPG1DFp3Dr7OEor61i5+QArNu9n2aZ9PL+uiCiBk0emOMEjL4P8ESn9Kp276TtCyg3lPqzCGa8Y8LzNSlxHOZiamrpW3gWDAyQSNP1HZlI8X5oygi9NGUFTs7KhqJwVm/fzZuF+Hlq2hQf/uYXUQTFMn+AEjnPyMshIsm5I0zNsLh9w5SNOdtBQBoAbm5ppalaiozoIFh5P4MDgsYVbJnSeKGHyqFQmj0rlxvPzOFTdwMqtB3izsJS3Nh/w7wdy4vAhbqsjk1NHpQyInQhNZFiw6KJDNQ0AxHgCdwWkXHG5f4yibbkxRyt1cCyXnpzDpSfn0NysfFpy2D/D6o8rtvP75dtIio/m7PHp/vGO3rKniekfLFh0UXmNM8Ic3UG/sX9cwpc52+PpltlQpm8p2fsShw87mx/9+98/6tbNj6KihBOHJ3Pi8GS+N3M8h+saeWfrAd4sdGZZvfbxXgAmDkvyz7AqyE0lLtpat+bohbIoLwP4FpDb8nxV/Y/wVav3Kqt2WhadNfez776bQW7X1vF/+mGP1Mv0HiV7X2LTpjtpbv4mAHX1xf5tVsOxW96Q+BguPDHxBMevAAAgAElEQVSbC0/MRlXZUlrFm4XODKu//XsHC9/azqBYD2eOG8qMiZmcm5fByLR+sTOy6UGhtCxeAlYC/wSOfZS2jzvkCxY2I8V0YPu2X9Pc3Hrn4ebmWrZv+3XYt1YVEf/GT9efM47qei+rth10Bso3l/LPjaUAjE0fzDl5GZw7MYMzxg61ZIgmqFCCxSBVvS3sNekjDrndUDE2kGg6UFdf0qXycBocF835k4Zx/qRhqCo7Dtb4Wx1Pvr+Lv72zg7joKE4fO5Rz3bGOsemDLRWJaSeUYPGKiFysqku6enMRuRB4CPAAf1LVX7Z5/mbgm4AX2A/8h6ruFJGZOOlFfI4D5qnqi12tQ3fzDXD3tZbFhg0bWLZsGRUVFSQnJzNr1izy8/MjXa1+KT4um7r64oDlkSQijEkfzJj0MVx71hjqGpt477MyVhTuZ8XmUu595VN4BUakJjAjL4NzJ2YybdxQEuNsaLM3en5vGb/YXsKe+kaGx8Vwx9hsvpSVFvzCoxTKv4IbgB+LSANH1g+rqg7p7CJ3k6TfA58DioDVIvKyqn7a4rT1QIGq1ojId4D7gStVdTlwinufNGArTmr0iCurbiBK6FPpGDZs2MDixYtpbHS+voqKChYvXgxgASMMxo67xT9G4RMVlcDYcbdEqEaBxcd4/Iv9YBK7y2qcGVab9/Pi+j088d4uYjxCweg0zp3otDomDkuyVkcv8PzeMm4p3E2tm+W4qL6RWwqdWTXhChihLMpLCnZOB6YCW1V1O4CIPAXMBfzBwg0KPu8CVwe4z5eB11S15ijr0a0O1TR0vMail1q2bJk/UPg0NjaybNkyCxZh4BuXiFrtzIaKj8vp1tlQ4TIybRBXnzGaq88YTYO3mTU7y/zTc3/x2iZ+8domsobE+6fmnjU+vdVukKbn/GJ7iT9Q+NQ2K7/YXhK5YAEgIpcC57iHb6rqKyFcNpwjE0jBaV2c3sn51wGvBSifB/y2g3pdD1wPMGrUqBCqdOwOVTcQ3cEai1BEIvNrRUVFl8qNiY2O4sxx6Zw5Lp07LjqevRV1/gSISz4u4ek1TgLEU0el+BcFnpBjCRB7yp76xi6Vd4dQps7+EjgNeMItukFEzlbV24NdGqBMA5QhIlcDBcCMNuXZwEk4W7u2v5nqQmAhQEFBQcB7d7eymsYOF+T1VsnJyQEDQ3JycgRq0//19NTZnpCVHM8Vp43kitNG4m1q5oPdR1KR/Pr1zfz69c2kJ8ZyzgQ3AeKEDNIsAWLYDI+LoShAYBgeF76WXigti4uBU9wd8xCRR3HGGoIFiyKg5SYPI4B2o34icj5wJzBDVdvm4L4CeEFVwxcuu6i8D3ZDzZo1q9WYBUBMTAyzZs2KYK36r0hOne0J0Z4oCnLTKMhN478umMiBqnpWbnG6q97cvJ9F6/cgAvkjjiRAPGWkJUDsTneMzW41ZgGQECXcMTZ8kyhCneaQApS5j0P9c3Q1MEFExuCkNZ8HfKXlCSIyGXgEuFBVSwPc4yrgjhBfr0eUVTcwKLZvzUn3jUvYbKie0ZumzvaE9MQ4vjB5BF+Y7CRA/HhPhdvqKOXhf23hd8u2kJwQw/QJ6f7gkTkkPviNTYd84xK9bTbUL4D1IrIcp2vpHEL4Ba6qXnf/i6U4U2f/oqqfiMi9wBpVfRlYACQCz7ozLHap6qUAIpKL0zJZ0dU3FS6NTc1U1nn75K5m+fn5Fhx6SG+dOtsTPFHCySNTOHlkCj+cNYHymgbebpGK5JUNTsCclD3En4pkyuhUW7d0FL6UlRbW4NBWKLOhnhSRN3HGLQS4TVX3hnJzd23GkjZld7V4fH4n1+7AGSTvNfx5ofrYmIXpWX1l6mxPSBkUy+fzc/h8fg6qysaSSn+r4//e2s4f3txGYlw0Z40fygx3f/LhKZYAsTfqMFiIyHGquklETnWLitz/5ohIjqquC3/1ehd/xtkw9L3a/tj9R1+dOhtuIsKknCFMyhnCd84dR2VdI+9sO+i0OgpLWfrJPgAmZCb6FwWeNsYSIPYWnbUsbsaZlvqbAM8pcF5YatSLhZJE0BhwAsaQIU4yybPOujHCtemdkuJjmH1CFrNPyEJV2ba/yt9d9diqnfzp7c9IiPEwbdxQZ1FgXgajhw6OdLUHrA6Dhape7z68SFXrWj4nIgNydKq8j6b6MKa3ExHGZyYxPjOJb04fS02Dl3e3H3RTkeznX5uc+S+5Qwdx7sRMZuQ5CRAT+thkk74slAHud4BTQyjr98qqfWMW1rIwJpwGxUZz3nHDOO+4YQDsOFDtT0Xy1GonAWJsdBSnj0lzu6wyGJeRaKlIwqizMYssnAHmBHeKq+9bGAL0m2T4L67fw/pd5TQ0NXPWL//FrbMnctnk4bDhGVh2L1QUQfIImHUXh2qc+Lip7GMatYELnrubG069gUvGXhLhd2F6m3BufjQQ5aYPJjd9MF8/M5e6xiZW7yjztzrue3Uj9726keEpCf4ZVmeOG0pSH5y12FVd2RL6WHXWspgNfANnMV3LdBuVwI/DWKce8+L6Pdyx6CMampoB2FNeyx2LPmL47lc47aO7odFdWFWxGxb/kLVDfwaSTqM63VEl1SXMf2c+QLuAYQPWA5dvBfctU5x/P3X19PkV3L1JfIyH6ROcVeI/AYoO1fDW5gOs2FzKyx8U8/f3dhEdJRTkpjozrPIyOD7bEiAeq87GLB4FHhWRL6nq8z1Ypx6zYGkhtY2t93OqbWxi5LoFQOsVuDTWsqasBPG0ntZX11THQ+sestaF8evvK7h7mxGpg/jK6aP4yumjaPA2s27XIX8CxF/9YxO/+scmMpPi/AkQp4/PIHlQ/291dLdQ1lk8LyKXACcA8S3K7w1nxXpCcXltwPJM3R8ws1VN0yAkurpd+d7qkJadmAFioK3g7k1io6M4Y+xQzhg7lNsuPI7Sw3X+sY7XP93Hs2uLiBKYPCrVv5r8pOHJlgAxBKEkEvwjzhjFTOBPOCnD3w9zvXpETkoCewIEjFLJIIv97cqjmwbT6KkBbf2xZQ3OCun1Nr+3l1UvbaOqrJ7EtDimzR1H3umhXWv6joG8gru3yRwSz+UFI7m8wEmA+GFRhdvqKOWBf27mt29sJm1wLOdMSGfGxAzOmZDB0MS4SFe7VwplNtSZqpovIhtU9R4R+Q2wKNwV6wm3zp7I7c9voM7b7C9LiPGw+9RbyWo5ZgEQk0BiUyaV0VvwNh752OI98dxw6g1BX2vze3tZ/sQmvA3Oa1WV1bP8iU0AFjD6Gd8K7pZdUQN1BXdvEu2JYsroVKaMTuXmz+VxsKqet7ce8A+Uv/hBMSJw0vBk/wyrk0ek2OxHVyjBwvcvvkZEcoCDwJjwVannXDbZySZy49MfADA8JYFbZ0/ktMkXQm5qu9lQDYsSOWPESby/s4iG5gayB2eHPBtq1Uvb/IHCx9vQzKqXtlmw6Gd84xLbt/2auvoS4uOybTZULzQ0MY65pwxn7inDaW5WPik+zIrNpbxZuJ/fL9/K//xrK0Pio5k+IcM/3jFsACdADHUP7hScpH/rcFZv/ymstephQoCNNvKvcH5cjU3NHP77a0zOnkBdjZO86+kv/yDk16gqa5t9vfNy07dlZ8214NCHREUJJ41I5qQRyXz/vAlU1DTy720HeLOwlBWb9/PqR85403FZScyYmMG5eZlMGZ1KbPTAaXWEMsD9M/fh8yLyChCvqv1iizXf1FlfoPBNnYUjrQ4fXxLBo93QJTEtLmBgSEyz/lFjepvkQTFcfFI2F5+UjapSuK/S2a+jcD9/efszHlmxncGxHs4cn+5PRTIitd8sPwuos0V5X+zkOVS1z49bdDR1dsHSwgDBwllbkTro6ILFtLnjWo1ZAETHRjFt7rijup8xpmeICMdlDeG4rCF8e8Y4quq9vLP1gH+nwDc+dRIgjssYzIy8TM6dmMHUMWnEx/SvVCSdtSzmuP/NBM4E/uUezwTepB8Mcnc0dTZQuS+J4NEGC9+4hM2GMqZvS4yL5oITsrjATYC4/UC1PwHi4+/t5C///oz4GGcK77l5GcyYmMmY9O5PgHhb4S5WlVcBMHz5B1ydk8avJo7q9tfx6WxR3rUAbtfTJFUtcY+zgd+HrUY9KGVQDIdq2u/YmhJgwY4vPXnq4KNfzJN3epYFB2P6ERFhXEYi4zISue7sMdQ2NPHuZ04CxLc272f+4k9h8aeMHjrIv65j2rihDIoNdZPSwG4r3MWjxWX4/nRtAh4tdjYzDVfACKXGub5A4doH5IWlNj1M241qd1x+6BjHLIwx/V9CrIeZEzOZOTETgF0Ha1ix2Rkkf3ZNEY+t2kmsJ4qpbgLEGRMzmJDZ9QSIjxeXdVgeyWDxpogsBZ7EmTQ0D1geltr0sIra9q2KjsqPtRvKGDPwjBo6iK9Ny+Vr03Kp9zaxZseRVCQ/X7KRny/ZSE5yvD8B4lnj00NKgNjUxfLuEMpsqO+7g93T3aKFqvpCGOvUYzpawZ0TYFvHQ9UNJMR4Qhq0qli8mNIHHsRbUkJ0djaZN91I8pw5Qa8zxvRfcdEezhqfzlnj0/nxxcdTXF7LW24qklc+LOHJ93cTHSWcOvpIKpITcoYEbHV4CBwYwjmkHlLHmTvzqc8PaLd16+yJ3LHoo1YzohJiPNw6e2K7cw/VNIbUBVWxeDElP70LrXP2i/IWF1PyU2fb8e4IGJbN1pj+ISclgXlTRzFv6igam5pZv6vc32W1YGkhC5YWkpEUxzkTMtxUJOmkuD0bV+ek+ccoWro6Jy1s9e1s6uzbqnq2iFTSes2aAKqqQ8JWqx7imx77o+c20NDUTIxH+MUXT2o3bRacAe5AA99tlT7woD9Q+GhdHaUPPGitC2NMQDHuOMbUMWncOvs4SivrWLnZmZ67bNM+nl/nJEA8eWQKM/IyuGpiJs1ZytNuDjsPRHQ21Nnuf5PC9uq9wGWTh/Pk+7vYvr8apf1iPJ+y6oaQWhbeksCZRTsqN8aYtjKT4vnSlBF8acoImpqVDUXl/nUdDy3bwoP/3ELqoBgyRMhOjueVmaeEvU6dtSw6bc+oauDh+D4qNjqKPeW11HubiItu3/NXXtPAqLTgKzSjs7PxFrfPOBqdbRlHjTFd54kSJo9KZfKoVG48P49D1Q2s3OqkIln8YTHDhvRMFojOxizW4nQ/BZrTpcDYsNQoQuLcHC/7KuoZNbR9UCirbiA1hG6ozJtubDVmASDx8WTedGP3VdYYM2ClDo7l0pNzuPTkHIrKanrsdTvrhjrmzLIiciHwEE6X2p9U9Zdtnr8Z+CbgBfYD/6GqO93nRuEkLByJE5wuVtUdx1qnjvgSghVX1LYLFt6mZg7XeUkNoRvKNy5hs6GMMeHWk1vFhjQbSkRSgQm03invrSDXeHBWen8OKAJWi8jLqvppi9PWAwWqWiMi3wHuB650n3sM+LmqviEiiUDr/N7dLNbNWV9S0X4qbXlt1xbkJc+Z06XgsHHlclY+9RiVBw+QNDSd6fOu4fjpM0O+3hhjwi2UnfK+CdwAjAA+AM4AVgHnBbl0KrBVVbe793kKmAv4g4Wqtlzc9y5wtXvuJCBaVd9wz6sK8f0cNX/Loryu3XOH3AV5KWFYkLdx5XJeX/gw3gYnI23lgf28vvBhAAsYxpheI5Rk7DcApwE7VXUmMBkC7Dna3nBgd4vjIresI9cBr7mP84ByEVkkIutFZIHbUgkbT5SQMigmYMvCt3o7LQzBYuVTj/kDhY+3oZ6VTz3W7a9ljDFHK5RgUaeqdQAiEqeqm4D2q9ba62hgvP2JIlcDBTgbLIHT4pkO3IITqMYC3whw3fUiskZE1uzfH0r86lx2cgIlgVoWbl6oY0ki2JHKgwe6VG6MMZEQSrAocnfKexF4Q0ReAtrPDQ1wHc7gtM+IQNeJyPnAncClqlrf4tr1qrpdVb3ua5/a9lpVXaiqBapakJGREUKVOpeTHE9xxZFgceUjq7jykVVHMs6GoWWRNDS9S+XGGBMJQYOFqn5BVctVdT7wU+DPwGUh3Hs1MEFExohILE4CwpdbniAik4FHcAJFaZtrU0XEFwHOo8VYR7hkp8R32g0VjmAxfd41RMe2nicdHRvH9HnXdPtrGWPM0QplgPsh4GlVfUdVV4R6Y1X1isj3gaU4U2f/oqqfiMi9wBpVfRmn2ykReNadArZLVS9V1SYRuQVYJs4Ta4H/6/K766Ls5ATKaxqpbWgiIfbIEEl5jZNEsGVZd/ENYttsKGNMbxbK1Nl1wE9EJA94ASdwrAnl5qq6BFjSpuyuFo/P7+TaN4D8UF7nWPmS872wvghw1lqMy0j0P19W3RjSgryjdfz0mRYcjDG9WijdUI+q6sU4U2E3A78SkS1hr1kEZCc7qcnbDnIfqmkIaUGeMcb0V13Z2288cByQSw+MH0RCjhssituMWxyqaZ1E0NKEG2MGmlDGLH4FfBHYBjwD/ExVy8NdsZ7y4vo9LFhaSHF5LdnJzgL1di2L6gZGpAZPImiMMf1VKC2Lz4BpqtrvJv6/uH5Pq82PfNNmV20/wA1M8J93qKaRtDCOWRhjTG8XypjFH32BQkTmh71GPWjB0sJWu+T5rN91pOGkqlTUNtqYhTFmQAtlUV5Ll4alFhFSHGD/bYB675Gchd5mZ9F5ONZYGGPM0bqtcBeryqtYVV7F8OUfcFvhrrC+XleDRc/lw+0BOSkJActbvklvkxssrGVhjOklbivc1WoP7ibg0eKysAaMrgaLKWGpRYTcOnsiCTGtF9pFRwkKHK5z8kE1NjutjHAkETTGmKPxuBsoGqZm0DA1o115OAQNFiJyv4gMEZEYnNxQB9zEf33eZZOH84svnsTwlAQEGJ6SwFdOdzY8982I8rUsUmyA2xjTS7Qfae28vDuEMhvqAlX9kYh8ASfB3+XAcuDxMNarx1w2eTiXTT6SOX3tzjIeW7XTv9bC62tZWDeUMaaX8BA4MIRzH4dQuqF8f1JfDDypquFr5/QCbVdx+8csrBvKGNNLXJ2T1qXy7hBKy2KxiGwCaoHvuplg22/60E9kJsURJUe2V21sUuJjosKSRNAYY47GryY63eWPF5fRhNOiuDonzV8eDkGDhare7q7iPuxmg63G2R61X4r2RDFsSDzFn22Eol14G4eSFgVseAbyr4h09YwxBnACRjiDQ1uhDHBfDnjdQPETnLGKnLDXLIKyY6op2bUVvPV48ZCqh2DxD52AYYwxA1AoYxY/VdVKETkbmA08CvwhvNWKrOzKjylpTgFwgoVUQWMtLLs3wjUzxpjICCVY+AbdLwH+oKovAf16tDfHW0SxDkXVDRZUOk9UFEW2YsYYEyGhBIs9IvIIcAWwRETiQryuz8oe1EQ9sXjx0Eg0aeIGi+QRka2YMcZESCi/9K/A2Rr1Qjc1eRpwa1hrFWE5p1wAQD0xNOEhhSqISYBZdwW50hhj+qdQss7W4OxlMdvdUztTVV8Pe80iKDt/FgA1Hmdr1bRBHpjzO5sNZYwZsELZ/OgG4FvAIrfocRFZqKr/E9aaRVB2irMJUvWgkVBZT+rn74H8yE8Aq15fyuGlO2gqr8eTEseQ2bkMnpwZ6WoZYwaAUBblXQecrqrV4N85bxXQb4NF+uA4YjxCTYMztp/aC/JCVa8vpXzRFrTRST/SVF5P+SJnK3QLGMaYcAtlzEJonYakiX6WqrytqCghKzmemgYv0DtSfRxeusMfKHy0sZnDS3dEpkLGmAEllJbFX4H3ROQF9/gy4M/hq1LvkJ2cwO4yJ+VHb0gi2FRe36VyY4zpTqGk+/itiLwJnI3TorhWVdeHu2KRlpMc73/cG1oWnpS4gIHBkxIXgdoYYwaaToOFiEQBG1T1RGBdz1Spd8h2d9GLEnpFEsEhs3NbjVkASEwUQ2bnRq5SxpgBo9MxC1VtBj4UkaPKViUiF4pIoYhsFZHbAzx/s4h8KiIbRGSZiIxu8VyTiHzg/rx8NK9/LHwti+io3rH+cPDkTFK+OMHfkvCkxJHyxQk2uG2M6RGhjFlkA5+IyPtAta9QVS/t7CIR8QC/Bz6Hs2nSahF5WVU/bXHaeqBAVWtE5DvA/cCV7nO1qnpK6G+le/n2tYj29J6x/MGTMy04GGMiIpRgcc9R3nsqsFVVtwOIyFM4qc39wUJVl7c4/12g12zX6ltrER3Ve4KFMcZESofBQkTGA8NUdUWb8nOAPSHceziwu8VxEXB6J+dfB7zW4jheRNYAXuCXqvpigDpeD1wPMGpU9+Z1z3FbFjGe3tENZYwxkdTZb8IHwZdutZUa97lgAv1JrgFPFLkaKAAWtCgepaoFwFeAB0VkXLubqS5U1QJVLcjIyAihSqFL2foiHpqIqS6BB060vSyMMQNaZ8EiV1U3tC1U1TVAbgj3LgJGtjgeARS3PUlEzgfuBC5VVf/cUFUtdv+7HXgTmBzCa3aPDc8gr/yQ49lJDgegYrdtfmSMGdA6CxbxnTyXEMK9VwMTRGSMiMQC84BWs5pEZDLwCE6gKG1RnuqmQkdE0oGzaDHWEXbL7oXGWgZLHTHiLl63zY+MMQNYZ8FitYh8q22hiFwHrA12Y1X1At/HSW++EXhGVT8RkXtFxDeTagGQCDzbZors8cAaEfkQWI4zZtFzwaKjTY4qinh1+6tc8NwF5D+azwXPXcCr21/tsWoZY0ykdDYb6kbgBRH5KkeCQwHOLnlfCOXmqroEWNKm7K4Wj8/v4Lp3gJNCeY2wSB7hdD218WrGCOa/M5+6pjoASqpLmP/OfAAuGXtJT9bQGGN6VIctC1Xdp6pn4kyd3eH+3KOq01R1b89UL0Jm3eVsdtRSTAIPpab4A4VPXVMdD617qAcrZ4wxPS+U3FDLcbqCBg7fJkfP7gVvPSSPhFl3sXf9fQFP31vdv2OnMcbYIoKO5F8BI06D3LPhpo8h/wqyBmcFPLWjcmOM6S8sWHTBDafeQLyn9SSxeE88N5x6Q4RqZIwxPSOUdB/G5RvEfmjdQ+yt3kvW4CxuOPUGG9w2xvR7Fiy66JKxl1hwMMYMONYNZYwxJigLFsYYY4KyYGGMMSYoCxbGGGOCsmBhjDEmKAsWxhhjgrJgYYwxJigLFsYYY4KyYGGMMSYoCxbGGGOCsmBhjDEmKAsWxhhjgrJgYYwxJigLFsYYY4KyYGGMMSYoCxbGGGOCsmBhjDEmKAsWxhhjgrJgYYwxJqiwBgsRuVBECkVkq4jcHuD5m0XkUxHZICLLRGR0m+eHiMgeEXk4nPUMaMMzULQadrwND5zoHBtjzAAVtmAhIh7g98BFwCTgKhGZ1Oa09UCBquYDzwH3t3n+Z8CKcNWxQxuegcU/BG+9c1yx2zm2gGGMGaDC2bKYCmxV1e2q2gA8BcxteYKqLlfVGvfwXWCE7zkRmQIMA14PYx0DW3YvNNa2LmusdcqNMWYACmewGA7sbnFc5JZ15DrgNQARiQJ+A9za2QuIyPUiskZE1uzfv/8Yq9tCRVHXyo0xpp+LDuO9JUCZBjxR5GqgAJjhFn0XWKKqu0UC3ca9mepCYCFAQUFBwHsflYRUqC3j6bj72pcbY8wAFM5gUQSMbHE8Aihue5KInA/cCcxQVXeQgGnAdBH5LpAIxIpIlaq2GyQ3xhgTfuEMFquBCSIyBtgDzAO+0vIEEZkMPAJcqKqlvnJV/WqLc76BMwjec4Gi9lDXyo0xpp8L25iFqnqB7wNLgY3AM6r6iYjcKyKXuqctwGk5PCsiH4jIy+GqT5ckj+hauTHG9HOi2n1d/ZFUUFCga9as6Z6b+abOtpwRFZMAc34H+Vd0z2sYY0wvICJrVbUg2Hm2gjuQ/CucwJA8EhDnvxYojDEDWDjHLPq2/CssOBhjjMtaFsYYY4KyYGGMMSYoCxbGGGOCsmBhjDEmKAsWxhhjgrJgYYwxJigLFsYYY4KyYGGMMSaofpPuQ0T2Azu7eFk6cCAM1enN7D0PDPaeB45jfd+jVTUj2En9JlgcDRFZE0pOlP7E3vPAYO954Oip923dUMYYY4KyYGGMMSaogR4sFka6AhFg73lgsPc8cPTI+x7QYxbGGGNCM9BbFsYYY0JgwcIYY0xQAzJYiMiFIlIoIltF5PZI1yccRGSkiCwXkY0i8omI3OCWp4nIGyKyxf1vaqTr2t1ExCMi60XkFfd4jIi8577np0UkNtJ17G4ikiIiz4nIJvc7n9bfv2sRucn9t/2xiDwpIvH97bsWkb+ISKmIfNyiLOD3Ko7fub/XNojIqd1ZlwEXLETEA/weuAiYBFwlIpMiW6uw8AL/parHA2cA33Pf5+3AMlWdACxzj/ubG4CNLY5/BTzgvudDwHURqVV4PQT8Q1WPA07Gef/99rsWkeHAD4ECVT0R8ADz6H/f9d+AC9uUdfS9XgRMcH+uB/7QnRUZcMECmApsVdXtqtoAPAXMjXCdup2qlqjqOvdxJc4vj+E47/VR97RHgcsiU8PwEJERwCXAn9xjAc4DnnNP6Y/veQhwDvBnAFVtUNVy+vl3jbMtdIKIRAODgBL62Xetqm8BZW2KO/pe5wKPqeNdIEVEsrurLgMxWAwHdrc4LnLL+i0RyQUmA+8Bw1S1BJyAAmRGrmZh8SDwI6DZPR4KlKuq1z3uj9/3WGA/8Fe3++1PIjKYfvxdq+oe4NfALpwgUQGspf9/19Dx9xrW320DMVhIgLJ+O39YRBKB54EbVfVwpOsTTiLyeaBUVde2LA5wan/7vqOBU4E/qOpkoJp+1OUUiNtPPxcYA+QAg3G6Ydrqb991Z8L6b30gBosiYGSL4xFAcYTqElYiEoMTKJ5Q1UVu8T5f09T9b2mk6hcGZwGXisgOnO7F83BaGiluVwX0z++7CChS1ffc4+dwgkd//q7PBz5T1f2q2ggsAs6k/3/X0PH3GtbfbQMxWKwGJrizJmJxBsVejnCdup3bV/9nYKOq/rbFU74IlLgAAAHQSURBVC8DX3cffx14qafrFi6qeoeqjlDVXJzv9V+q+lVgOfBl97R+9Z4BVHUvsFtEJrpFs4BP6cffNU730xkiMsj9t+57z/36u3Z19L2+DFzjzoo6A6jwdVd1hwG5gltELsb5i9MD/EVVfx7hKnU7ETkbWAl8xJH++x/jjFs8A4zC+R/uclVtO4DW54nIucAtqvp5ERmL09JIA9YDV6tqfSTr191E5BScQf1YYDtwLc4fg/32uxaRe4ArcWb+rQe+idNH32++axF5EjgXJw35PuBu4EUCfK9u0HwYZ/ZUDXCtqq7ptroMxGBhjDGmawZiN5QxxpgusmBhjDEmKAsWxhhjgrJgYYwxJigLFsYYY4KyYGFMGIlIbsuMocb0VRYsjDHGBGXBwpgeIiJj3UR/p0W6LsZ0lQULY3qAm4rjeZxVtasjXR9juio6+CnGmGOUgZO/50uq+kmkK2PM0bCWhTHhV4Gzz8BZka6IMUfLWhbGhF8Dzm5mS0WkSlX/HukKGdNVFiyM6QGqWu1uzvSGiFSran9MnW36Mcs6a4wxJigbszDGGBOUBQtjjDFBWbAwxhgTlAULY4wxQVmwMMYYE5QFC2OMMUFZsDDGGBPU/weUNo/TK3oCqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  }
 ],
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